gnu: Add r-bayesspace.

* gnu/packages/bioconductor.scm (r-bayesspace): New variable.

Change-Id: Id9c0d23e209bafea5941a1e1f968fab5f1724eab
This commit is contained in:
Mădălin Ionel Patrașcu 2023-11-06 12:06:45 +01:00 committed by Ricardo Wurmus
parent bf93f88c20
commit 53b4e01e29
No known key found for this signature in database
GPG Key ID: 197A5888235FACAC

View File

@ -22781,6 +22781,53 @@ variable is the knocked-down gene, while the other genes are potential
targets. It can also be used for differential expression/2-class data.")
(license license:gpl3)))
(define-public r-bayesspace
(package
(name "r-bayesspace")
(version "1.12.0")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "BayesSpace" version))
(sha256
(base32 "1mqgsylnrvf197cin5zzihjv31bm2q0m5a612ncbglys6n1jd105"))))
(properties `((upstream-name . "BayesSpace")))
(build-system r-build-system)
(propagated-inputs
(list r-assertthat
r-biocfilecache
r-biocsingular
r-coda
r-dirichletreg
r-ggplot2
r-matrix
r-mclust
r-purrr
r-rcpp
r-rcpparmadillo
r-rcppdist
r-rcppprogress
r-rcurl
r-rhdf5
r-s4vectors
r-scales
r-scater
r-scran
r-singlecellexperiment
r-summarizedexperiment
r-xgboost))
(native-inputs (list r-knitr))
(home-page "https://www.ezstatconsulting.com/BayesSpace/")
(synopsis "Clustering and resolution enhancement of spatial transcriptomes")
(description
"This package provides tools for clustering and enhancing the resolution
of spatial gene expression experiments. BayesSpace clusters a low-dimensional
representation of the gene expression matrix, incorporating a spatial prior to
encourage neighboring spots to cluster together. The method can enhance the
resolution of the low-dimensional representation into \"sub-spots\", for which
features such as gene expression or cell type composition can be imputed.")
(license license:expat)))
(define-public r-biocthis
(package
(name "r-biocthis")